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A Method to Assess Dissaving Risk against Life Expectancy for Elderly People

  • Yuya Yokoyama
  • , Yasunari Yoshitomi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

In order to detect the capability deterioration of economic activity for single elderly people at age of sixty-five or over, characteristic expenditures are tried to be extracted. The data used are anonymous and obtained from the National Survey of Family Income and Expenditure carried out by Ministry of Internal Affairs and Communications in 2004. As a basis of economy activity, clustering is performed with five clusters having income and saving as feature values. We then develop a method to determine whether savings are enough for life expectancy in terms of income and saving. As a result of clustering, data (13 males, 48 females) determined as having dissaving risk are included in the corresponding clusters (32 males, 226 females) categorized as low or fairly low income and low saving. In the case distinguishing rent with own house and using four clusters having saving as feature value, Correct Detection Ratio (CDR) of elderly people determined as having dissaving risk is 66.7% (83.3%, 94.1% and 52.6%, respectively) for Male/Rent (Male/Own, Female/Rent and Female/Own). In the case disregarding rent and own house, CDR is 78.6% (65.5%, respectively) for male (female). For female, further consideration of clustering conditions results in improving CDR as high as 73.9%.

本文言語英語
ホスト出版物のタイトルProceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019
編集者Masahide Nakamura, Hiroaki Hirata, Takayuki Ito, Takanobu Otsuka, Shun Okuhara
出版社Institute of Electrical and Electronics Engineers Inc.
ページ262-267
ページ数6
ISBN(電子版)9781728116518
DOI
出版ステータス出版済み - 07-2019
外部発表はい
イベント20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 - Toyama, 日本
継続期間: 08-07-201911-07-2019

出版物シリーズ

名前Proceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019

会議

会議20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019
国/地域日本
CityToyama
Period08-07-1911-07-19

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ハードウェアとアーキテクチャ
  • ソフトウェア
  • 情報システムおよび情報管理

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